@article{scholars2211, number = {4}, volume = {63}, note = {cited By 8}, doi = {10.2166/wst.2011.211}, title = {Response surface analysis and modeling of n-alkanes removal through bioremediation of weathered crude oil}, year = {2011}, journal = {Water Science and Technology}, pages = {618--626}, issn = {02731223}, author = {Mohajeri, L. and Aziz, H. A. and Zahed, M. A. and Mohajeri, S. and Kutty, S. R. M. and Isa, M. H.}, keywords = {Bio-augmentation; Biostimulation; Central composite designs; Coastal sediments; F values; n-Alkanes; Natural attenuation; Nutrients concentrations; Oil concentration; Optimized conditions; Petroleum; Regression model; Response surface analysis; Response Surface Methodology; Weathered crude oil, Anoxic sediments; Biodegradation; Bioremediation; Biotechnology; Crude oil; Degradation; Microbiology; Nitrogen removal; Nutrients; Optimization; Organic compounds; Phosphorus; Pollution; Regression analysis; Sedimentology; Surface analysis; Surface properties, Paraffins, alkane; nitrogen; petroleum; phosphorus, alkane; bacterium; biodegradation; bioreactor; bioremediation; coastal sediment; crude oil; nitrogen; optimization; phosphorus; regression analysis, article; attenuation; bacterium; bioreactor; bioremediation; concentration (parameters); controlled study; inoculation; nutrient; probability; response surface method; sediment; surface property; waste component removal, Alkanes; Biodegradation, Environmental; Bioreactors; Environmental Pollutants; Geologic Sediments; Models, Statistical; Nitrogen; Oils; Petroleum; Phosphorus; Regression Analysis, Bacteria (microorganisms)}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953182397&doi=10.2166\%2fwst.2011.211&partnerID=40&md5=07de2c3d6339897e56abf9eacd4eba02}, abstract = {Central composite design (CCD) and response surface methodology (RSM) were employed to optimize four important variables, i.e. amounts of oil, bacterial inoculum, nitrogen and phosphorus, for the removal of selected n-alkanes during bioremediation of weathered crude oil in coastal sediments using laboratory bioreactors over a 60 day experimentation period. The reactors contained 1 kg soil with different oil, microorganisms and nutrients concentrations. The F Value of 26.89 and the probability value (P {\ensuremath{<}} 0.0001) demonstrated significance of the regression model. For crude oil concentration of 2, 16 and 30 g per kg sediments and under optimized conditions, n-alkanes removal was 97.38, 93.14 and 90.21 respectively. Natural attenuation removed 30.07, 25.92 and 23.09 n-alkanes from 2, 16 and 30 g oil/kg sediments respectively. Excessive nutrients addition was found to inhibit bioremediation. {\^A}{\copyright} IWA Publishing 2011.} }